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Presenc AI — Agent-commerce telemetry and scored benchmark panel: observed AI-agent sessions attempting real purchases at the top 200 retailers, scored end to end for agent-payable readiness (0-100), with per-retailer blocker taxonomy (login wall, captcha, payment-rail absence, multiple) and agent checkout success rates — refreshed quarterly. Underlying platform also tracks which AI agents/ crawlers hit each customer's site, plus adjacent panels on llms.txt adoption by industry and AI-crawler volume growth 2022-2026.. Small vendor, concentrated but distinctive asset: 200 retailers per quarter…
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Agent-commerce telemetry and scored benchmark panel: observed AI-agent sessions attempting real purchases at the top 200 retailers, scored end to end for agent-payable readiness (0-100), with per-retailer blocker taxonomy (login wall, captcha, payment-rail absence, multiple) and agent checkout success rates — refreshed quarterly. Underlying platform also tracks which AI agents/ crawlers hit each customer's site, plus adjacent panels on llms.txt adoption by industry and AI-crawler volume growth 2022-2026.
From 2 yearsCoverage Consumer Discretionary · Information TechnologyAsset class Equities
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Presenc AI — Agent-commerce telemetry and scored benchmark panel: observed AI-agent sessions attempting real purchases at the top 200 retailers, scored end to end for agent-payable readiness (0-100), with per-retailer blocker taxonomy (login wall, captcha, payment-rail absence, multiple) and agent checkout success rates — refreshed quarterly. Underlying platform also tracks which AI agents/ crawlers hit each customer's site, plus adjacent panels on llms.txt adoption by industry and AI-crawler volume growth 2022-2026.. Small vendor, concentrated but distinctive asset: 200 retailers per quarter…
Presenc AI offers (Alternative, Sentiment, Reference) — ~200 retailers scored per quarterly review (≈800 retailer-observations/year), and the raw agent-session layer is the real volume — each retailer requires multiple end-to-end purchase attempts to derive a success rate, so plausibly tens of thousands of logged session traces per cycle. Raw session count is not published; confirm with vendor..
Reinforcement-learning / agent-action training corpora (successful vs failed checkout trajectories with labelled blocking step); agentic-commerce addressable-market models; retail AI-readiness scoring feeds for merchants and payment networks; checkout-friction and bot-blocking classifiers; AI-traffic (GEO/AEO) attribution datasets.
The data is with 2 years of history.
Coverage spans US, Other; Internet & Direct Marketing Retail, Application Software; alternative, sentiment, reference; equities.
The supplier's own access route is a conversation with the supplier. Request a sample through Brickroad to start.
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